eprintid: 2647
rev_number: 12
eprint_status: archive
userid: 318
dir: disk0/00/00/26/47
datestamp: 2017-12-08 04:45:55
lastmod: 2017-12-08 04:45:55
status_changed: 2017-12-08 04:45:55
type: conference_item
metadata_visibility: show
creators_name: Ma Thi, Chau
creators_name: Tabia, Karim
creators_name: Sylvain, Lagrue
creators_name: Nguyen, Thanh Thuy
creators_name: Le, Thanh Ha
creators_name: Bui, The Duy
creators_id: nguyenthanhthuy@vnu.edu.vn
creators_id: ltha@vnu.edu.vn
creators_id: duybt@vnu.edu.vn
title: Annotating movement phrases in Vietnamese folk dance videos
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: This paper aims at the annotation of movement phrases in Vietnamese folk dance videos that were mainly gathered, stored and used in teaching at art schools and in preserving cultural intangible heritages (performed by different famous folk dance masters). We propose a framework of automatic movement phrase annotation, in which the motion vectors are used as movement phrase features. Movement phrase classification can be carried out, based on dancer’s trajectories. A deep investigation of Vietnamese folk dance gives an idea of using optical flow as movement phrase features in movement phrase detection and classification. For the richness and usefulness in annotation of Vietnamese folk dance, a lookup table of movement phrase descriptions is defined. In initial experiments, a sample movement phrase dataset is built up to train k-NN classification model. Experiments have shown the effectiveness of the proposed framework of automatic movement phrase annotation with classification accuracy at least 88%.
date: 2017-06
date_type: published
full_text_status: none
pres_type: paper
pagerange: 3-11
event_title: International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems IEA/AIE 2017: Advances in Artificial Intelligence: From Theory to Practice
event_location: Arras, France
event_dates: 3 June 2017
event_type: conference
refereed: TRUE
related_url_url: https://link.springer.com/chapter/10.1007/978-3-319-60045-1_1
citation:   Ma Thi, Chau and Tabia, Karim and Sylvain, Lagrue and Nguyen, Thanh Thuy and Le, Thanh Ha and Bui, The Duy  (2017) Annotating movement phrases in Vietnamese folk dance videos.  In: International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems IEA/AIE 2017: Advances in Artificial Intelligence: From Theory to Practice, 3 June 2017, Arras, France.